{"id":"W6976436998","doi":"10.6068/dp14ba8bb75e377","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Absence rates of full-time employees, by sex and age group | Variable: Incidence rate, personal or family responsibility, 20 to 24 years, Both sexes | Units: %, 1987-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-141.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Socioeconomic status; Summary statistics; Turnover; Work (physics); Population statistics; Social statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002456479,0.002560882,0.002830721,0.00909553,0.003145417,0.004334298,0.005983517,0.001520105,0.08019421],"category_scores_gemma":[0.01933403,0.001813845,0.002403466,0.03859373,0.0005979881,0.002273507,0.002311273,0.003143871,0.04209402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05640861,"about_ca_system_score_gemma":0.1392041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959371,"about_ca_topic_score_gemma":0.9946187,"domain_scores_codex":[0.9956325,0.0003010715,0.0004814028,0.0005153532,0.002000914,0.001068746],"domain_scores_gemma":[0.9655803,0.001219666,0.001157704,0.0008749367,0.02939155,0.001775792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002990375,0.000008470943,0.001493651,0.0003266889,0.00002786472,0.000007415495,0.00002930226,0.0001356582,0.000009043503,0.0003451242,0.9956043,0.001982649],"study_design_scores_gemma":[0.0002364309,0.00002068146,0.04449655,0.001438495,0.000115534,0.00003773728,0.0006568503,0.000672692,0.0001982127,0.0007891753,0.9512148,0.0001226665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006351793,0.00006092547,0.0000269371,0.0001164482,0.00002322808,0.00001736681,0.9989812,0.00005409777,0.0006562173],"genre_scores_gemma":[0.001126434,0.0003679906,0.000453684,0.000175137,0.00002099808,0.0001699863,0.9937384,0.0001094616,0.003837885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08019421,"threshold_uncertainty_score":0.409275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774914371754311,"score_gpt":0.2481360419214641,"score_spread":0.220386898203921,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}